The 90-Minute AI Roadmap for Engineers
For engineering teams stuck between "AI matters" and "where do we even start."
- ✓ Your firm's top 3 AI-ready workflows, identified and prioritized by ROI
- ✓ The frameworks used across 40+ engineering AI implementations
- ✓ A security and governance checklist to protect your PE stamp
- ✓ ROI math your CFO will actually approve
- ✓ Downloadable AI Policy Template and Workflow Assessment Checklist
Get My Engineering AI Roadmap
Register for the live masterclass + 2 bonus sessions (no pre-work required)
Why This Works Specifically for Engineering Firms
Engineering workflows are based on patterns, standards, and quality gates. That is not a limitation for AI. That is exactly what it is designed for.
Structured workflows are ideal for AI
Proposals, document management, compliance reviews, and specifications all follow repeatable patterns. These are perfect for AI because they have rules and standards that AI can follow and you can verify.
Your PE stamp stays with you
AI does not touch your professional judgment. What it removes is the 20 hours of formatting, document hunting, and email sorting that separate your judgment from the actual work. Your knowledge, your standards, your liability protection. All still yours.
Already working across the industry
Municipal engineering, civil design, structural firms, and construction consulting are all seeing results. Firms that move fast on low-risk workflows see ROI by Week 3, then expand from there. This is not experimental. It is proven.
Sound Familiar?
These are the exact words we hear from engineering leaders. If any of these is your reality, you are in the right place.
"It's the Wild Wild West"
Some people are experimenting with AI on their own, others are ignoring it entirely, and there is no policy, no structure, and no shared understanding of what is even appropriate to use.
"Everything is non-billable"
Your best engineers are spending almost half their week on proposals, document hunting, email triage, and coaching junior staff. That is revenue walking out the door every single day.
"I've become the bottleneck"
Managers and senior engineers are fielding constant questions, reviewing every document, and carrying the institutional knowledge that keeps projects moving. Nothing scales when everything flows through one person.
"The knowledge is walking out the door"
Senior engineers are retiring in the next 2-5 years, and decades of project history, client relationships, and technical judgment live in their heads. Once they leave, that knowledge is just gone.
"We keep recreating the wheel"
Every proposal starts from scratch. Every new project reinvents deliverables that exist somewhere on someone's hard drive. Templates, SOPs, and past work are siloed across the organization.
"We know AI matters, but where do we start?"
The options are overwhelming. The tools keep changing. Nobody on the team has time to figure it out, and generic AI training does not connect to how engineering firms actually work.
And the worst part? Your best people feel it most. The senior engineers who could be mentoring juniors are reviewing documents all day. Project managers who should be building relationships are hunting for files. The work is important, but it is not the work they signed up for.
How We Got Here
A few years ago, I was facing an impossible deadline and no budget for outside specialists. A project that would normally take 3 weeks of waiting for a consultant was done in 4 hours using AI. Not a rough draft. A complete, validated, expert-level deliverable.
That moment changed everything about how I thought about engineering workflows. It was not that AI replaced the engineering judgment. It amplified it. The knowledge, the standards, the experience were all still mine. AI just removed the friction between knowing what to do and getting it done.
That single discovery launched everything. We took that approach to the first firm we worked with, and we tried to implement everything at once. Too ambitious. We scaled back, focused on the highest-friction workflows first, and suddenly adoption clicked. That failure taught us the framework you are going to learn. We have refined it across 40+ engineering firms, and the pattern is clear: focus on quick wins first, build confidence, then scale. The average result across our Fall 2025 cohort: 5 hours reclaimed per person per week, with teams hitting positive ROI by Week 3.
This masterclass walks you through exactly how we did it, the frameworks that worked, the mistakes we made along the way, and how your firm can do the same.
The Transformation
What changes when engineering firms implement AI using a structured, workflow-first approach.
Before AI Implementation
- Proposals take 2-3 days of non-billable work per submission
- Emails pile up with no system for triage or prioritization
- Junior staff interrupt senior engineers 10-15 times per day for guidance
- Contract review falls entirely on one executive, 2-4 hours per document
- 50 years of project history locked in filing cabinets and individual hard drives
- No AI policy, no governance, no structure for safe adoption
- Finance team spends 4-5 hours per week on AP invoice processing alone
After AI Implementation
- First-draft proposals generated in 90 minutes with relevant project comps
- AI-assisted triage delivers a prioritized action list every morning
- AI knowledge base answers common questions so senior staff focus on billable work
- AI first-pass review flags key items, executive review drops to 1 hour
- Every project searchable by client, type, date, or keyword in seconds
- Governance framework in place with PE stamp protection and data classification
- Invoice processing automated to under 1 hour per week with AI extraction
The 3-Part Engineering AI Playbook
Three breakthroughs that turned skeptical engineering teams into confident daily AI users. (And why generic AI training fails without them.)
The Right System
Why generic AI training fails for engineering, and the 3-ingredient approach that makes it work for technical workflows.
- ● The 3 Ingredients System (Prompts + Custom Instructions + Knowledge Base)
- ● The 3WC Prompting Formula for engineering accuracy
- ● Live prompt transformation: generic vs. structured output
Generic AI training fails because it ignores the rules, standards, and quality gates that matter in engineering. We tried that first.
The Right Habits
How to turn even the most skeptical team members into daily AI users without adding work to their plate.
- ● The 4P Workflow Framework (Plan, Perform, Peer-Check, Performance)
- ● AI habit formation that sticks
- ● Live demo: proposal generation from RFP in real time
You cannot mandate AI adoption. Forcing tools on skeptical engineers makes them more skeptical. We learned this the hard way.
The Right Guardrails
How to move forward with confidence when your firm does not have an AI policy and leadership has not made a call yet.
- ● Trust But Verify validation framework
- ● AI governance that enables adoption, not blocks it
- ● PE stamp protection and data security protocols
Moving fast without policy feels risky. But moving slowly without clarity feels worse. We found the balance.
Is This for You?
✓ This masterclass is built for:
- ✓ Engineering leaders and department heads who know AI matters but have not found the right starting point
- ✓ Project managers and PEs spending too much time on admin and not enough on engineering
- ✓ Operations, finance, and business development professionals at engineering firms
- ✓ IT directors responsible for evaluating and implementing AI tools
- ✓ Firm owners looking for a practical, low-risk path to AI adoption
✗ This is probably not for you if:
- ✗ Your firm already has a mature AI program with dedicated technical staff
- ✗ You are looking for a deep-dive on a single AI tool or platform
- ✗ You want theoretical AI concepts without practical engineering application
- ✗ You are committed to building all AI capabilities in-house without external guidance
Meet Your Instructor
Shane Chalupa, PE
Founder, Obnovit LLC
Shane is a Licensed Professional Engineer with 13+ years of experience in engineering, construction, and project delivery. He has implemented AI workflows across 40+ engineering projects, helping firms reclaim thousands of non-billable hours and build systems that scale. His Fall 2025 AI training cohort scored a +67 NPS, with participants saving 3-8 hours per person per week.
He founded Obnovit to bridge the gap between AI's potential and engineering's practical needs. Every framework taught in this masterclass was tested in Obnovit's own engineering practice before being shared with clients.
Two Bonus Sessions Included Free
Register once and get access to all three live sessions this week.
The main session gives you the frameworks. The bonus sessions give you the proof and the plan. On Thursday, you will watch AI build real engineering deliverables live. On Friday, you will build your own implementation roadmap with your firm's actual numbers.
Most firms implement their first quick win within 4 days of attending.
AI in Action: Live Engineering Demos
Thursday, April 16, 2026 | 60 Minutes
No slides. Pure live demonstrations of AI workflows that engineering firms are using right now.
- ✓ Proposal generation from RFP, end to end
- ✓ Email triage and prioritization workflows
- ✓ Finance and AP invoice processing automation
Your AI Implementation Roadmap
Friday, April 17, 2026 | 60 Minutes
Interactive workshop where you build a real deliverable for your leadership team.
- ✓ Identify your firm's top 3 AI quick wins
- ✓ ROI calculator walkthrough with your own numbers
- ✓ Security and governance framework for safe adoption
- ✓ Downloadable AI policy template
What Engineering Professionals Are Saying
We all know we work too hard, so we're not interested in working any harder. This showed us how to work less on the stuff that doesn't matter and more on the stuff that does. Within three weeks, we freed up 6 hours per person per week. My senior engineers went from admin to mentoring junior staff.
Department Manager
Municipal Engineering Firm
I'm a billable company. If we can get people from non-billable tasks quicker, it's a benefit for everybody. We modeled the ROI before adopting. By Week 2, we were tracking actuals against model. Week 3, we were ahead of projections.
Director of IT
Civil Engineering Firm
A lot of institutional knowledge is going out the door. Once they retire in the next two to five years, that knowledge is just gone. This gave us a real way to capture it. We are already preserving workflows from three retiring senior engineers.
Vice President
Engineering Consulting Firm
The Math Is Simple
See what AI adoption could mean for your firm's bottom line.
Your Firm's AI ROI Estimate
Estimated Annual Value Created
$180,000
That is $3,750 per week your team is currently leaving on the table.
Our Time-Investment Guarantee
Your people are good at engineering. They should not be spending half their week on things that software was built to do. If you attend these three sessions and do not walk away with at least 3 workflows you could actually implement next Monday, Shane will spend 30 minutes finding them with you personally. That is the commitment, because this works, and you should not have to figure it out alone. Email support@obnovit.com to claim it.
Questions We Hear Most Often
You know AI matters. You have seen the case studies. You have done the math. What you need is the path your firm can actually take without disruption or risk.
This masterclass is that path.
The 90-Minute AI Roadmap for Engineering Firms
April 14, 2026 at 12:00 PM ET • Free Live Masterclass + 2 Bonus Sessions
Your people are too talented to spend half their week on work that software was built for. In 90 minutes, you will see exactly how to reclaim that time.
Questions? Email support@obnovit.com